神經物理導論
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<br>(I) 課程簡介
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<br>授課老師：林秀豪教授
<br>上課時間：F5F6F7 (物理館620室)
<br>教科書：Neuronal Dynamics (Cambridge University Press) by Gerstner, Kistler, Naud and 
<br>Paninski. (教科書可於網路免費參閱)
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<br>(II) 成績評量
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<br>May 10 (Fri) 繳交模擬報告
<br>Jun 14 (Fri) 期末報告期限
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<br>1. 本課程採用 project-ba<x>sed learning (PBL)，課程內容設計以實際科學問題切入，修課同學需選
<br>定一神經物理問題或模型，並於期末前完成數值模擬。
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<br>2. 學期成績包括兩部分的評量：互評短報 (40%)、期末報告 (60%) 作為原始分數為基礎，視全班學
<br>習狀況做整體比較後，以等第制給定最後的成績。
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<br>3. 每位學生於期末須繳交一份書面報告，以LaTEX專業語言呈現，將數值模擬的細節簡潔敘述。另附
<br>上簡短自評，包括報告成績、學習與書寫流程與時間、優劣處分析等等，自評須繳交但不列入計分。
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<br>4. 期末報告需於課堂口頭簡報，並接受同儕與授課老師詰問，能夠完整回答70%以上提問，才算是
<br>通過。
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<br>(III) 課程內容
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<br>Week 1 
<br>Feb 22 (Fri)
<br>Brain and its neurons
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<br>Week 2 
<br>Mar 1 (Fri) 和平紀念日
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<br>Week 3 
<br>Mar 8 (Fri)
<br>Action potential and integrate-and-fire model
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<br>Week 4 
<br>Mar 15 (Fri) 
<br>Ion channels and Hodgkin-Huxley model
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<br>Week 5
<br>Mar 22 (Fri)
<br>Dendrites and synapses
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<br>Week 6
<br>Mar 29 (Fri)
<br>Bifurcations in neuron models 1
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<br>Week 7
<br>Apr 5 (Fri) 民族掃墓節
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<br>Week 8
<br>Apr 12 (Fri)
<br>Bifurcations in neuron model 2
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<br>Week 9
<br>Apr 19 (Fri)
<br>Neuron populations and rate models
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<br>Week 10
<br>Apr 26 (Fri)
<br>Decision making – excitation/inhibition neurons
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<br>Week 11
<br>May 3 (Fri)
<br>Associative memory – Hopfield model
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<br>Week 12
<br>May 10 (Fri)
<br>Perception – cortical field model
<br>模擬成果報告
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<br>Week 13
<br>May 17 (Fri)
<br>Learning – Hebbian rule for synaptic plasticity
<br>模擬成果報告
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<br>Week 14
<br>May 24 (Fri)
<br>Visual recognition – principal-component analysis
<br>模擬成果報告
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<br>Week 15
<br>May 31 (Fri)
<br>Neuronal dynamics: Z2 versus U(1)
<br>模擬成果報告
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<br>Week 16
<br>June 7 (Fri) 端午節
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<br>Week 17
<br>June 14 (Fri)
<br>Parkinson disease and U(1) neuronal network
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<br>Week 18 (Final Week)
<br>Jun 21 (Fri) 
<br>期末報告總檢討
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